Central Europe and the Baltics - Rural population growth (annual %)

The value for Rural population growth (annual %) in Central Europe and the Baltics was -0.550 as of 2020. As the graph below shows, over the past 59 years this indicator reached a maximum value of 0.056 in 1994 and a minimum value of -0.976 in 1978.

Definition: Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.

Source: World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.

See also:

Year Value
1961 -0.363
1962 -0.373
1963 -0.351
1964 -0.341
1965 -0.516
1966 -0.468
1967 -0.169
1968 -0.264
1969 -0.415
1970 -0.606
1971 -0.815
1972 -0.768
1973 -0.762
1974 -0.721
1975 -0.638
1976 -0.650
1977 -0.786
1978 -0.976
1979 -0.959
1980 -0.852
1981 -0.537
1982 -0.388
1983 -0.436
1984 -0.474
1985 -0.514
1986 -0.515
1987 -0.524
1988 -0.617
1989 -0.642
1990 -0.590
1991 -0.793
1992 -0.558
1993 0.010
1994 0.056
1995 -0.071
1996 -0.160
1997 -0.124
1998 -0.092
1999 -0.087
2000 -0.488
2001 -0.776
2002 -0.806
2003 -0.434
2004 -0.394
2005 -0.414
2006 -0.413
2007 -0.575
2008 -0.574
2009 -0.353
2010 -0.467
2011 -0.336
2012 -0.276
2013 -0.253
2014 -0.254
2015 -0.301
2016 -0.371
2017 -0.416
2018 -0.422
2019 -0.413
2020 -0.550

Development Relevance: The rural population is calculated using the urban share reported by the United Nations Population Division. There is no universal standard for distinguishing rural from urban areas, and any urban-rural dichotomy is an oversimplification. The two distinct images - isolated farm, thriving metropolis - represent poles on a continuum. Life changes along a variety of dimensions, moving from the most remote forest outpost through fields and pastures, past tiny hamlets, through small towns with weekly farm markets, into intensively cultivated areas near large towns and small cities, eventually reaching the center of a megacity. Along the way access to infrastructure, social services, and nonfarm employment increase, and with them population density and income. A 2005 World Bank Policy Research Paper proposes an operational definition of rurality based on population density and distance to large cities (Chomitz, Buys, and Thomas 2005). The report argues that these criteria are important gradients along which economic behavior and appropriate development interventions vary substantially. Where population densities are low, markets of all kinds are thin, and the unit cost of delivering most social services and many types of infrastructure is high. Where large urban areas are distant, farm-gate or factory-gate prices of outputs will be low and input prices will be high, and it will be difficult to recruit skilled people to public service or private enterprises. Thus, low population density and remoteness together define a set of rural areas that face special development challenges. Countries differ in the way they classify population as "urban" or "rural." Most countries use an urban classification related to the size or characteristics of settlements. Some define urban areas based on the presence of certain infrastructure and services. And other countries designate urban areas based on administrative arrangements. Because of national differences in the characteristics that distinguish urban from rural areas, the distinction between urban and rural population is not amenable to a single definition that would be applicable to all countries. Rural population methodology is defined by various national statistical offices. In the United States, for example, the US Census Bureau's urban-rural classification is fundamentally a delineation of geographical areas, identifying both individual urban areas and the rural areas of the nation. "Rural" encompasses all population, housing, and territory not included within an urban area.

Limitations and Exceptions: Aggregation of urban and rural population may not add up to total population because of different country coverage. There is no consistent and universally accepted standard for distinguishing urban from rural areas, in part because of the wide variety of situations across countries. Estimates of the world's urban population would change significantly if China, India, and a few other populous nations were to change their definition of urban centers. Because the estimates of city and metropolitan area are based on national definitions of what constitutes a city or metropolitan area, cross-country comparisons should be made with caution. To estimate urban populations, UN ratios of urban to total population were applied to the World Bank's estimates of total population.

Statistical Concept and Methodology: Rural population is calculated as the difference between the total population and the urban population. Rural population is approximated as the midyear nonurban population. While a practical means of identifying the rural population, it is not a precise measure. The United Nations Population Division and other agencies provide current population estimates for developing countries that lack recent census data and pre- and post-census estimates for countries with census data.

Aggregation method: Weighted average

Periodicity: Annual

Classification

Topic: Environment Indicators

Sub-Topic: Density & urbanization